Longguang Zhong

According to our database, Longguang Zhong authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ThinkSwitcher: When to Think Hard, When to Think Fast.

Guosheng Liang, Longguang Zhong, Ziyi Yang, Xiaojun Quan

CoRR, May, 2025

FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion.

Longguang Zhong, Fanqi Wan, Ziyi Yang, Guosheng Liang, Tianyuan Shi, Xiaojun Quan

CoRR, April, 2025

FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion.

Ziyi Yang, Fanqi Wan, Longguang Zhong, Canbin Huang, Guosheng Liang, Xiaojun Quan

CoRR, March, 2025

Weighted-Reward Preference Optimization for Implicit Model Fusion.

Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BlockPruner: Fine-grained Pruning for Large Language Models.

Longguang Zhong, Fanqi Wan, Ruijun Chen, Xiaojun Quan, Liangzhi Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mutual-Taught for Co-adapting Policy and Reward Models.

Tianyuan Shi, Canbin Huang, Fanqi Wan, Longguang Zhong, Ziyi Yang, Weizhou Shen, Xiaojun Quan, Ming Yan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FuseChat: Knowledge Fusion of Chat Models.

Fanqi Wan, Longguang Zhong, Ziyi Yang, Ruijun Chen, Xiaojun Quan

CoRR, 2024

FuseChat: Knowledge Fusion of Chat Models.

Fanqi Wan, Ziyi Yang, Longguang Zhong, Xiaojun Quan, Xinting Huang, Wei Bi

CoRR, 2024